Dumbest Generation
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This document discusses several technologies that may contribute to the current generation being seen as the dumbest, including electronic entertainment like video games, internet search engines that provide quick answers, constant texting that replaces face-to-face communication, and the prevalence of social networking.
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Social networking has become immensely popular, with 91% of mobile internet access being for social activities and more devices now connected to the internet than people. Social networking involves using dedicated websites to communicate informally by posting messages and photos. The top three reasons people socially network are to showcase their identity, connect with others and build relationships, and interact as part of an online community.
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Exicon Introduction to Mobile Social Media Panel at Mobile Asia Congress 2009 HK
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
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